Connectionists: NEURAL NETWORKS, January 2024

[Wang, Deliang]

Neural Networks - Volume 169, January 2024
https://www.journals.elsevier.com/neural-networks

Announcement of the 2021 Neural Networks Best Paper Award
Taro Toyoizumi, DeLiang Wang

Editorial: A surge of submissions
Taro Toyoizumi, DeLiang Wang

Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models
Hayato Idei, Yuichi Yamashita

A survey on few-shot class-incremental learning
Songsong Tian, Lusi Li, Weijun Li, Hang Ran, ... Prayag Tiwari

A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, M. Tanveer, Rajashree Nayak

An interactive cortical architecture for perceptual organization by accentuation
Dražen Domijan, Mateja Marić

Masked Kinematic Continuity-aware Hierarchical Attention Network for pose estimation in videos
Kyung-Min Jin, Gun-Hee Lee, Woo-Jeoung Nam, Tae-Kyung Kang, ... Seong-Whan Lee

BI-FedGNN: Federated graph neural networks framework based on Bayesian inference
Rufei Gao, Zhaowei Liu, Chenxi Jiang, Yingjie Wang, ... Pengda Wang

FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing
Zhongqi Lin, Zengwei Zheng

Event-triggered impulsive quasi-synchronization for BAM neural networks with reliable redundant channel
Yumei Zhou, Weijun Lv, Jie Tao, Yong Xu, ... Leszek Rutkowski

Beyond low-pass filtering on large-scale graphs via Adaptive Filtering Graph Neural Networks
Qi Zhang, Jinghua Li, Yanfeng Sun, Shaofan Wang, ... Baocai Yin

Graph-based methods coupled with specific distributional distances for adversarial attack detection
Dwight Nwaigwe, Lucrezia Carboni, Martial Mermillod, Sophie Achard, Michel Dojat

ComCo: Complementary supervised contrastive learning for complementary label learning
Haoran Jiang, Zhihao Sun, Yingjie Tian

Comprehensive mining of information in Weakly Supervised Semantic Segmentation: Saliency semantics and edge semantics
Shaohui Wang, Youjia Shao, Na Tian, Wencang Zhao

Almost periodic quasi-projective synchronization of delayed fractional-order quaternion-valued neural networks
Xiaofang Meng, Zhouhong Li, Jinde Cao

Few-shot image generation with reverse contrastive learning
Yao Gou, Min Li, Yusen Zhang, Zhuzhen He, Yujie He

Deterministic learning-based neural identification and knowledge fusion
Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, ... Cong Wang

Automatic selection of spoken language biomarkers for dementia detection
Xiaoquan Ke, Man Wai Mak, Helen M. Meng

To understand double descent, we need to understand VC theory
Vladimir Cherkassky, Eng Hock Lee

Reservoir computing models based on spiking neural P systems for time series classification
Hong Peng, Xin Xiong, Min Wu, Jun Wang, ... Mario J. Pérez-Jiménez

Boosting fine-tuning via Conditional Online Knowledge Transfer
Zhiqiang Liu, Yuhong Li, Chengkai Huang, KunTing Luo, Yanxia Liu

Balanced influence maximization in social networks based on deep reinforcement learning
Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, ... Youquan Wang

Multi-scale feature selection network for lightweight image super-resolution
Minghong Li, Yuqian Zhao, Fan Zhang, Biao Luo, ... Kan Chang

Leveraging spatial residual attention and temporal Markov networks for video action understanding
Yangyang Xu, Zengmao Wang, Xiaoping Zhang

Discriminative multimodal learning via conditional priors in generative models
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen

Nonparametric tensor ring decomposition with scalable amortized inference
Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Improving few-shot relation extraction through semantics-guided learning
Hui Wu, Yuting He, Yidong Chen, Yu Bai, Xiaodong Shi

Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning
Lingyun Song, Haodong Li, Yacong Tan, Zhanhuai Li, Xuequn Shang

Revisiting multi-view learning: A perspective of implicitly heterogeneous Graph Convolutional Network
Ying Zou, Zihan Fang, Zhihao Wu, Chenghui Zheng, Shiping Wang

Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification
Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning

HG-PerCon: Cross-view contrastive learning for personality prediction
Meiling Li, Yangfu Zhu, Shicheng Li, Bin Wu

Reduced-complexity Convolutional Neural Network in the compressed domain
Hamdan Abdellatef, Lina J. Karam

Low-variance Forward Gradients using Direct Feedback Alignment and momentum
Florian Bacho, Dominique Chu

Preserving specificity in federated graph learning for fMRI-based neurological disorder identification
Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu

Maximum margin and global criterion based-recursive feature selection
Xiaojian Ding, Yi Li, Shilin Chen

AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism
Hongjie Wu, Junkai Liu, Tengsheng Jiang, Quan Zou, ... Yijie Ding

Filter pruning for convolutional neural networks in semantic image segmentation
Clara I. López-González, Esther Gascó, Fredy Barrientos-Espillco, Eva Besada-Portas, Gonzalo Pajares

Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks
Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang

Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms
Yurou Chen, Fengyi Zhang, Zhiyong Liu

Grasping detection of dual manipulators based on Markov decision process with neural network
Juntong Yun, Du Jiang, Li Huang, Bo Tao, ... Baojia Chen

Saturation function-based continuous control on fixed-time synchronization of competitive neural networks
Caicai Zheng, Cheng Hu, Juan Yu, Shiping Wen

Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization
Banghua Huang, Yang Liu, Yun-Liang Jiang, Jun Wang

An event-triggered collaborative neurodynamic approach to distributed global optimization
Zicong Xia, Yang Liu, Jun Wang

Denoising cosine similarity: A theory-driven approach for efficient representation learning
Takumi Nakagawa, Yutaro Sanada, Hiroki Waida, Yuhui Zhang, ... Takafumi Kanamori

A framework for controllable Pareto front learning with completed scalarization functions and its applications
Tran Anh Tuan, Long P. Hoang, Dung D. Le, Tran Ngoc Thang

VC dimensions of group convolutional neural networks
Philipp Christian Petersen, Anna Sepliarskaia

AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, ... Dacheng Tao

Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters
Hongliang Liu, Jun Cheng, Jinde Cao, Iyad Katib

Reproduced neuron-like excitability and bursting synchronization of memristive Josephson junctions loaded inductor
Fuqiang Wu, Hao Meng, Jun Ma

Neurodynamic approaches for multi-agent distributed optimization
Luyao Guo, Iakov Korovin, Sergey Gorbachev, Xinli Shi, ... Jinde Cao

Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: A system mode and time scheduler dual-dependent design
Jianping Zhou, Xiaofeng Ma, Zhilian Yan, Sabri Arik

Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning
Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, ... Yilong Zang

M-DDC: MRI based demyelinative diseases classification with U-Net segmentation and convolutional network
Deyang Zhou, Lu Xu, Tianlei Wang, Shaonong Wei, ... Jiuwen Cao

An efficient multi-scale learning method for image super-resolution networks
Wenyuan Ying, Tianyang Dong, Jing Fan

Adaptive class augmented prototype network for few-shot relation extraction
Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, ... Xue Li

Heterogeneous context interaction network for vehicle re-identification
Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, ... Yilong Yin

GRAND: GAN-based software runtime anomaly detection method using trace information
Shiyi Kong, Jun Ai, Minyan Lu, Yiang Gong

Temporal shuffling for defending deep action recognition models against adversarial attacks
Jaehui Hwang, Huan Zhang, Jun-Ho Choi, Cho-Jui Hsieh, Jong-Seok Lee

A comparative study of GNN and MLP based machine learning for the diagnosis of Alzheimer's Disease involving data synthesis
Ke Chen, Ying Weng, Akram A. Hosseini, Tom Dening, ... Yiming Zhang

Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting
Slawek Smyl, Grzegorz Dudek, Paweł Pełka

Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism
Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, ... Fayadh Alenezi

A benchmarking protocol for SAR colorization: From regression to deep learning approaches
Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt

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